Modular Modeling for the Diagnostic of Complex Discrete-Event Systems

For the complex systems, the development of a methodology of fault diagnosis is important. Indeed, for such systems, an efficient diagnosis contributes to the improvement of the availability, the growth of production, and, of course, the reduction of maintenance costs. It is a key action in the impr...

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Bibliographic Details
Published inIEEE transactions on automation science and engineering Vol. 10; no. 4; pp. 1101 - 1123
Main Authors Gascard, Eric, Simeu-Abazi, Zineb
Format Journal Article
LanguageEnglish
Published New York IEEE 01.10.2013
The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Institute of Electrical and Electronics Engineers
Subjects
Algorithm design and analysis
Algorithms
Automata
Automatic
Complex systems
Diagnosers
Discrete event systems
Engineering Sciences
Fault detection
Fault diagnosis
Maintenance costs
modular modeling
software implementation
timed automaton
software implementation
fault diagnosis
diagnosers
fault detection
Discrete-event systems
timed automaton
modular modelling
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ISSN1545-5955
1558-3783
DOI10.1109/TASE.2012.2229707

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Summary:For the complex systems, the development of a methodology of fault diagnosis is important. Indeed, for such systems, an efficient diagnosis contributes to the improvement of the availability, the growth of production, and, of course, the reduction of maintenance costs. It is a key action in the improvement of performance of industrial feature. This paper proposes a new approach to diagnose complex systems modeled by communicating timed automata. Each component has been modeled separately by a timed automaton integrating various operating modes while the communication between the various components is carried out by the control module. Starting from each module of the complex system, a single deterministic automaton, called a diagnoser, is constructed that uses observable events to detect the occurrence of a failure. This modeling formalism provides means for formal verification of the complex system model and its diagnoser. The model-checking methods are used to check correctness properties. The steps of the method are described by an algorithm and illustrated through a batch neutralization process. The implementation of the algorithm is also discussed.
Bibliography:SourceType-Scholarly Journals-1
ObjectType-Feature-1
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ISSN:1545-5955
1558-3783
DOI:10.1109/TASE.2012.2229707